{"id":"W2021823710","doi":"10.1890/06-0953","title":"POPULATION GROWTH IN SNOW GEESE: A MODELING APPROACH INTEGRATING DEMOGRAPHIC AND SURVEY INFORMATION","year":2007,"lang":"en","type":"article","venue":"Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"","keywords":"Snow; Ecology; Population growth; Geography; Population; Population ecology; Biology; Demography; Meteorology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002473751,0.0005615226,0.0006085763,0.001281284,0.0004889978,0.001245576,0.001526191,0.0009365563,0.0009378211],"category_scores_gemma":[0.005079857,0.0007285012,0.001155974,0.001353107,0.0005515613,0.002396941,0.001205868,0.0008875064,0.0002428463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281105,"about_ca_system_score_gemma":0.001260578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03033921,"about_ca_topic_score_gemma":0.03140359,"domain_scores_codex":[0.9994317,0.000246607,0.00003973614,0.0001435189,0.00009795176,0.00004048549],"domain_scores_gemma":[0.9984925,0.0009757293,0.0002326191,0.00008305532,0.0001639986,0.00005212141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002385486,0.00004645718,0.01981177,0.00006283769,0.0001275023,0.000106965,0.0004077276,0.9334919,0.0008551212,0.02332392,0.0004525575,0.02128938],"study_design_scores_gemma":[0.000002705955,0.00001243336,0.001069992,0.000006892602,0.00001653995,0.00002320516,0.00002618556,0.995044,0.00005607443,0.003270439,0.0004639394,0.000007579556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1294814,0.0004486687,0.8655691,0.0006634095,0.00003429595,0.00008868604,0.0003949665,0.0003341149,0.002985384],"genre_scores_gemma":[0.8325804,0.001081608,0.1604289,0.0001234915,0.0001046475,0.000389757,0.0004871629,0.0001103907,0.004693835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03033921,"threshold_uncertainty_score":0.06032521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137383990339232,"score_gpt":0.2214697180763162,"score_spread":0.207731319042393,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}